Databricks

Technical Program Manager, FDE

Databricks · Munich, Germany
Munich, Germany Posted 2026-10-06
Type
Full-time
Experience
8+ yr

CSQ327R264

At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a PS Technical Program Manager, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the PS practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals.

The Impact You Will Have

  • Portfolio Success : Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives.
  • Operational Excellence : Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit.
  • Strategic Alignment : Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements.
  • Leadership Hub : Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum.
  • Mentorship : Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact.

What We Look For

  • Experience : 5–8 years managing complex technical programs.
  • Technical Bar : Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire.
  • AI Proficiency : Demonstrated ability to integrate AI tools into program management workflows to drive operational performance.
  • Process Innovation : A track record of enhancing delivery standards and implementing changes that improve operational performance.
  • Mandatory Certifications : PMP Certification (Project Management Professional) required within 6 months of hire.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks
Databricks

Databricks

Data Analytics · Private · San Francisco, USA

Stage & Valuation
Private · $134B
Key Investors
Andreessen Horowitz, Thrive Capital, Insight Partners
Open roles on NewJob
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Engineering (170) · Sales (27) · BizOps (19)
Databricks provides a unified analytics platform that combines data engineering, data science, and machine learning capabilities, built on Apache Spark.
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